La lista de Voces animantium del Matritensis B. N. 19: estudio de sus fuentes y nueva edición.

Sin resume

Notas para una mejora de la traducción española de la Introducción al latín vulgar de Veikko Vaananen.

Sin resume

Numerical simulation of a cooling tower and its plume

Cooling tower design has been an active area of research for over 40 years with the goalof reduceing the visibility of their effluent water vapor plumes. Plume visibility occurs whenwater vapour leaving the tower is exposed to ambient, cold air, resulting in condensation.In order to minimize plume visibility, the research field of cooling towers has been diverse.On the one hand, research has been conducted on designing cooling towers improving theirplume abatement (from wet and dry to hybrid cooling towers). On the other hand, otherlines of research focused on the evaluation of a predefined cooling tower over a variety ofoperating conditions to determine its optimal plume abatement. The main objective of thisproject is to analyze the effect of the ambient and cooling tower operating conditions onplume visibility.A numerical model based on wet cooling towers has been coupled with a numerical plumemodel that considers the possibility of condensation.The wet cooling tower model proposedby Klimanek and Merkel methods have been used to study the tower. In the case of theplume, a theoretical steady-state plume model that is adapted from the work of Wu andKoh (1978) and Ali Moradi and M. R. Flynn et al. is considered [1] that assumes a uniform,rather than a coaxial plume, and takes into account the event of condensation.The coupling between models, cooling tower and plume, has been carried out using an opensource simulation package especially developed for the analysis and design of cooling towers:CoolIT. As CoolIT already had a wet cooling tower model implemented with Klimanek andMerkel methods, the main task of this thesis was to implement and couple the plume modelto the existing tower models in CoolIT using the Python programming language and object-oriented programming structure. Then, some cases are simulated to illustrate the effect ofplume visibility while comparing both methods and varying certain operating conditions

Unsupervised person image synthesis in arbitrary poses

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksWe present a novel approach for synthesizing photo-realistic images of people in arbitrary poses using generative adversarial learning. Given an input image of a person and a desired pose represented by a 2D skeleton, our model renders the image of the same person under the new pose, synthesizing novel views of the parts visible in the input image and hallucinating those that are not seen. This problem has recently been addressed in a supervised manner, i.e., during training the ground truth images under the new poses are given to the network. We go beyond these approaches by proposing a fully unsupervised strategy. We tackle this challenging scenario by splitting the problem into two principal subtasks. First, we consider a pose conditioned bidirectional generator that maps back the initially rendered image to the original pose, hence being directly comparable to the input image without the need to resort to any training image. Second, we devise a novel loss function that incorporates content and style terms, and aims at producing images of high perceptual quality. Extensive experiments conducted on the DeepFashion dataset demonstrate that the images rendered by our model are very close in appearance to those obtained by fully supervised approaches.Peer ReviewedPostprint (author's final draft

Relative localization for aerial manipulation with PL-SLAM

The final publication is available at link.springer.comThis chapter explains a precise SLAM technique, PL-SLAM, that allows to simultaneously process points and lines and tackle situations where point-only based methods are prone to fail, like poorly textured scenes or motion blurred images where feature points are vanished out. The method is remarkably robust against image noise, and that it outperforms state-of-the-art methods for point based contour alignment. The method can run in real-time and in a low cost hardware.Peer ReviewedPostprint (author's final draft

Die XX julii in festo sancti Hieronymi Aemiliani confessoris : Duplex

CCPB000165891-3Sign.: A

Stochastic pumping of ions based on colored noise in bacterial channels under acidic stress

Fluctuation-driven ion transport can be obtained in bacterial channels with the aid of different types of colored noise including the biologically relevant Lorentzian one. Using the electrochemical rectification of the channel current as a ratchet mechanism we observe transport of ions up to their concentration gradient under conditions similar to that met in vivo, namely moderate pH gradients and asymmetrically charged lipid membranes. We find that depending on the direction of the concentration gradient the channel can pump either cations or anions from the diluted side to the concentrated one. We discuss the possible relevance of this phenomenon for the pH homeostasis of bacterial cellsFinancial support from Generalitat Valenciana (project PROMETEO/GV/0069), the Ministry of Economy and Competitiveness of Spain (project no. FIS2013-40473-P), and Universitat Jaume I (project no. P1.1B2015-28) is acknowledged